{"id":"W3165992805","doi":"10.1111/wrr.12955","title":"Engineered microenvironment for the study of myofibroblast mechanobiology","year":2021,"lang":"en","type":"article","venue":"Wound Repair and Regeneration","topic":"Cellular Mechanics and Interactions","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Programs for Assessment of Technology in Health Research Institute","funders":"National Institute of Biomedical Imaging and Bioengineering; National Heart, Lung, and Blood Institute; Korea National Institute of Health","keywords":"Mechanobiology; Myofibroblast; Mechanosensitive channels; Extracellular matrix; Cell biology; Mechanotransduction; Cell culture; Cell migration; Biology; Fibrosis; Pathology; Medicine; Biochemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000791646,0.00005783408,0.00006376894,0.00001063716,0.00009882565,0.000008571898,0.00002866892,0.00005186617,0.000009126796],"category_scores_gemma":[0.00001624243,0.00004107968,0.0000553201,0.00002282391,0.00001353834,0.000001303708,0.00003598326,0.00002488708,2.923357e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004654401,"about_ca_system_score_gemma":0.00001542687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007000734,"about_ca_topic_score_gemma":0.0001037302,"domain_scores_codex":[0.9995903,0.00003007126,0.0001187474,0.0001656519,0.00003242574,0.00006284625],"domain_scores_gemma":[0.9997182,0.00001182196,0.00003539828,0.0001802089,0.00003926563,0.00001504542],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002167413,0.000114549,0.00003364789,0.00000762886,0.00008707749,2.96311e-7,0.00007201969,0.0003618697,0.9976409,0.000519909,0.00062373,0.000516668],"study_design_scores_gemma":[0.0004385577,0.0006530611,0.0001909001,0.000003479836,0.00004973593,0.00001963529,0.0007042369,0.003113854,0.9351323,0.00004095351,0.05958588,0.00006747355],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9694315,0.002092608,0.02763983,0.0001780438,0.0002761642,0.0003306888,0.0000108276,0.000005311223,0.00003507729],"genre_scores_gemma":[0.9973442,0.0003307268,0.0005658378,0.00004453025,0.0001345957,0.00004796204,0.000108913,0.000006984507,0.001416279],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06250869,"threshold_uncertainty_score":0.1675181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00845315983391314,"score_gpt":0.2216979975992081,"score_spread":0.2132448377652949,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}